The Cyber Security Agency of Singapore (CSA) has launched its Guidelines and Companion Guide on Securing AI Systems at the Singapore International Cyber Week (SICW) 2024, highlighting the critical need for AI systems to be secure by design and by default. These guidelines aim to assist organisations in implementing AI securely by identifying potential threats such as adversarial attacks and data breaches.
Furthermore, they provide essential security controls and best practices principles, referencing established international standards to ensure alignment with global best practices. To effectively mitigate risks throughout the system’s lifespan, CSA advocates for a holistic approach across five key stages of the AI life cycle – Planning and Design, Development, Deployment, Operations and Maintenance, and End of Life.
In addition, the Companion Guide serves as a community-driven resource that offers practical measures for system owners, thereby reinforcing the importance of collaboration in addressing AI security challenges. Moreover, the development of the Guidelines was enriched by a public consultation conducted from 31 July to 15 September 2024, which received valuable feedback from various stakeholders, including AI and tech companies, cybersecurity firms, and professional associations.
That input was instrumental in refining the guidelines, improving clarity, and ensuring alignment with international standards. Consequently, CSA encourages organisational leaders, business owners, and AI and cybersecurity practitioners to adopt these Guidelines as a strategic imperative to enhance the overall cybersecurity posture of AI systems. By doing so, organisations can foster user confidence in their AI implementations, ultimately promoting innovative, safe, and effective outcomes.
Fujitsu has launched a new AI-powered service aimed at boosting 5G network performance by predicting traffic surges and adjusting base station operations. The application ensures users experience minimal disruptions during peak periods by activating additional base stations when needed.
The system measures network quality in real time, identifying early signs of increased demand to prevent performance drops. It promises improved energy efficiency and reduced operational costs through smarter base station management. Commercial availability is scheduled for next month, integrated into Fujitsu’s open RAN-compliant orchestration platform.
Trials revealed that the technology enhances the user experience for individual applications, supporting 19% more users per base station. The predictive system is particularly effective during events, allowing networks to anticipate pedestrian traffic and adapt without compromising service quality.
Fujitsu’s tool represents a breakthrough in network management by combining traffic forecasting with dynamic resource allocation. Operators can now ensure smoother connectivity and reduce power consumption while keeping pace with fluctuating demand.
OpenAI‘s head of media partnerships, Varun Shetty, recently stated that the company does not intend to share advertising revenue from its SearchGPT product with publishers. During his address at the Twipe Digital Growth Summit in Brussels, Shetty highlighted OpenAI’s belief that it can provide value to publishers by driving significant traffic from new audiences rather than offering financial compensation. He also acknowledged the importance of a mutually beneficial relationship and indicated that OpenAI is exploring ways to ensure publishers find enough value to remain included in SearchGPT results.
Varun Shetty compared OpenAI’s approach to that of Google’s AI Overviews, which have been criticised for diminishing publishers’ visibility in search results. In contrast, the AI-powered search engine Perplexity has established revenue-sharing agreements with multiple publishers, and Microsoft has announced plans to pay publishers for content featured by its productivity assistant, Copilot. Currently, in an experimental phase, SearchGPT aims to provide answers in natural language while clearly indicating sources. OpenAI intends to integrate SearchGPT into its flagship ChatGPT product by the end of the year.
Shetty stressed the need to balance user experience with publisher needs, noting that while users seek answers, they also want to verify information. He assured publishers they could opt out of SearchGPT results if desired, and any publisher wanting to participate only needs to permit OpenAI’s search bot on their site. He emphasised that SearchGPT has the potential to drive significant traffic without complicating the decision-making regarding content training.
In addition to discussing SearchGPT, Shetty expressed how OpenAI could assist the news industry, noting that while audiences are not interested in AI-generated news, AI can help streamline journalistic tasks, such as story recommendations and multimedia management. He also hinted at advancements in the next GPT model, which will enable more complex user requests, enhancing its usefulness for various applications.
The increasing use of AI and machine learning in financial services globally could lead to financial stability risks, according to the Governor of the Reserve Bank of India (RBI), Shaktikanta Das. Speaking at an event in New Delhi, Das cautioned that the reliance on a small number of technology providers could lead to concentration risks in the sector.
Disruptions or failures in these AI-driven systems could trigger cascading effects throughout the financial industry, amplifying systemic risks, Das warned. In India, financial institutions are already employing AI to improve customer experience, reduce operational costs, and enhance risk management through services like chatbots and personalised banking.
However, AI adoption comes with vulnerabilities, including increased exposure to cyber attacks and data breaches. Das also raised concerns about the ‘opacity’ of AI algorithms, which makes them difficult to audit and could lead to unpredictable market consequences.
Das further emphasised the risks posed by the rapid growth of private credit markets, which operate with limited regulation. He warned that these markets have not been tested under economic downturns, presenting potential challenges to financial stability.
Russia has announced a substantial increase in the use of AI-powered drones in its military operations in Ukraine. Russian Defense Minister Andrei Belousov emphasised the importance of these autonomous drones in battlefield tactics, saying they are already deployed in key regions and proving successful in combat situations. Speaking at a next-generation drone technology center, he called for more intensive training for troops to operate these systems effectively.
Belousov revealed that two units equipped with AI drones are currently stationed in eastern Ukraine and along Russia’s Belgorod and Kursk borders, where they are engaged in active combat. The AI technology enables drones to autonomously lock onto targets and continue missions even if control is lost. Plans are underway to form five additional units to conduct around-the-clock drone operations.
Russia‘s ramped-up use of AI drones comes alongside a broader military strategy to increase drone production by tenfold, with President Putin aiming to produce 1.4 million units by the year’s end. Both Russia and Ukraine have heavily relied on drones throughout the war, with Ukraine also using them to strike targets deep inside Russian territory.
The European Space Agency (ESA) is enhancing its Destination Earth platform, an initiative by the European Commission to create a highly accurate digital replica of the Earth, known as a digital twin. The platform focuses on climate-related issues, helping policymakers model the effects of climate change on critical areas such as extreme weather events, sea level rise, rainfall and drought, and biodiversity.
The first version of Destination Earth launched in June 2024, featuring two initial digital twins, with plans to introduce additional twins over the next six years, culminating in a fully operational digital replica by 2030. To enrich its capabilities, the ESA is integrating AI technologies, including machine learning, deep learning, and generative AI, with the support of three selected French firms – Atos, Mews Partners, and ACRI-ST.
As a result of these advancements, users will gain access to various algorithms, digital tools, models, simulations, and visualisations, significantly improving the platform’s utility for climate adaptation and mitigation policy-making. The integration of AI is expected to streamline the development process and enhance the overall effectiveness of Destination Earth in addressing climate challenges.
In a recent interview with The Wall Street Journal, AI pioneer Yann LeCun dismissed concerns about AI poses an existential threat to humanity, calling them ‘complete B.S.’ LeCun, a professor at New York University and senior researcher at Meta, has been vocal about his scepticism, emphasising that current AI technology is far from achieving human-level intelligence. He previously tweeted that before worrying about super-intelligent AI, we need to first create a system that surpasses the intelligence of a house cat.
LeCun argued that today’s large language models (LLMs) lack essential capabilities like persistent memory, reasoning, planning, and a comprehension of the physical world—skills even a cat possesses. In his view, while these models are adept at manipulating language, this does not equate to true intelligence, and they are not advancing toward developing artificial general intelligence (AGI).
Despite his scepticism about current AI capabilities, LeCun is not entirely dismissive of the potential for AGI in the future. He suggested that developing AGI will require new approaches and pointed to ongoing work by his team at Meta, which is exploring ways to process and understand real-world video data.
Japanese companies Rapidus and Denso are set to collaborate on creating standardised design methods for advanced chips, which will be used in sectors such as AI and self-driving vehicles. The collaboration marks a significant step for Japan as it leads efforts to develop cutting-edge chip technology.
This is the first time Japanese firms have taken the lead in standardising chip design methods. The initiative is aimed at boosting Japan’s competitiveness in the global chip market, where competition is fierce and innovation is key.
Rapidus and Denso will encourage other companies to join in sharing their chip designs. The shared methods are expected to reduce development time and production costs, fostering a more efficient approach to chip manufacturing.
By creating common design practices, the companies hope to speed up the development of advanced chips, making them more affordable to produce and further solidifying Japan’s position in the tech industry.
Visitors to Cambridge University’s Museum of Zoology will soon be able to have conversations with animals on display using AI. The museum is offering two-way chats with 13 selected specimens, including a dodo, a red panda, and a narwhal skeleton, as part of a month-long experiment starting Tuesday.
The aim of this project is to encourage public engagement with the natural world and provide insights into visitors’ curiosity about the exhibits. Visitors can start a conversation by scanning a QR code near each display, with the animals responding based on their species’ traits and scientific data.
Nature Perspectives, the company behind the technology, has designed the AI responses to reflect the unique perspective of each specimen. The goal is to foster a deeper connection between visitors and nature, with the potential to shift public attitudes toward biodiversity loss.
To ensure the accuracy of the responses, the AI has been fine-tuned using a curated set of data provided by experts. This helps maintain the scientific integrity of the conversations while enhancing the overall visitor experience.
Google has signed the first-ever corporate agreement to source electricity from small modular reactors (SMRs) to power its AI operations. Partnering with Kairos Power, the tech giant plans to bring its first SMR online by 2030, with further installations expected by 2035. The innovative approach aims to ensure a reliable, around-the-clock supply of clean energy, addressing the growing energy demands triggered by the expansion of AI technology.
The agreement outlines Google’s commitment to purchasing 500 megawatts of power from six to seven SMRs, though details regarding the plants’ financial terms and locations remain undisclosed. The power output from these SMRs is significantly smaller than traditional nuclear reactors, but Google’s strategic investment signals a push toward long-term sustainability.
The tech industry’s focus on nuclear energy has gained momentum this year, with companies like Amazon and Microsoft entering similar agreements. According to Goldman Sachs, the demand for data centres in the US is expected to triple between 2023 and 2030. The surge in energy consumption has prompted technology companies to explore alternative energy sources, including nuclear, wind, and solar, to meet future needs.
Kairos Power must navigate regulatory hurdles, including securing permits from the US Nuclear Regulatory Commission (NRC) and local agencies, which could take several years. However, the company achieved a key milestone last year by obtaining a construction permit to build a demonstration reactor in Tennessee, signalling progress toward deploying SMRs.
Despite the enthusiasm for SMRs, critics point to potential challenges, including high costs and the production of long-lasting nuclear waste. However, Google’s decision to commit to an order book framework with Kairos rather than purchasing individual reactors represents a strategic investment to accelerate the development of SMRs while ensuring cost-effectiveness and timely project delivery.
